icobrain aria

icometrix

The AI-based brain MRI solution allows for the automated detection and quantification of both ARIA-E (edema/sulcal effusion) and ARIA-H (hemorrhage/superficial siderosis). Using a unique longitudinal neural network, the baseline MRI is compared with the post-dosing follow-up MRI scan, assisting radiologists and clinicians with an extra pair of eyes (or AIs).

Information source: Vendor
Last updated: Sept. 22, 2024

General Information

General
Product name	icobrain aria
Company	icometrix
Subspeciality	Neuro
Modality	MR
Disease targeted	Amyloid-related imaging abnormalities (ARIA), Alzheimer's disease
Key-features	Detection, quantification and grading of amyloid-related imaging abnormalities
Suggested use	During: interactive decision support (shows abnormalities/results only on demand), report suggestion

Technical Specifications

Data characteristics
Population	Alzheimer's patients being treated with anti-amyloid treatments
Input	2D or 3D FLAIR, 2D GRE
Input format	DICOM
Output	Segmentation overlay, quantitative report, draft radiology report, table of quantified values
Output format	DICOM, HL7, json
Technology
Integration	Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform
Deployment	Cloud-based
Trigger for analysis	Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time	1 - 10 minutes

Regulatory

Certification
CE	Certified, Class IIa , MDR
FDA	No or not yet
Intended Use Statements
Intended use (according to CE)

Market

Market presence
On market since	09-2024
Distribution channels	Nuance, Blackford, Calantic
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Subscription
Based on	Number of analyses

Evidence

Evidence
Peer reviewed papers on performance	Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities (read)
Non-peer reviewed papers on performance
Other relevant papers